Program Overview

Program Overview

The Master's program in Big Data: Statistical Methods for the Knowledge Society aims to provide advanced training in the use of statistical methods and techniques for Big Data analysis. The program focuses on enhancing the quality of existing data sources, adopting new data collection methodologies, and integrating databases and statistical surveys.

Program Details

• Identificativo: 29034
• Tipo offerta formativa: Master
• Anno accademico: 2025/2026
• Livello: M2
• Durata: annuale
• Importo: 6000
• CFU: 60
• Adesione al Protocollo d'intesa PA 110 e lode: Si
• Importo PA 110 e lode: 5400
• Numero posti PA 110 e lode: 5

Objectives

The program has the objective of providing a high-level education in Big Data, promoting the acquisition of professional skills in the use of statistical methods and techniques. It aims to enhance the value of existing information from various sources to effectively address the challenges of the information society, where knowledge, innovation, and research are key factors in development and competitiveness.

Focus Areas

The program concentrates on:

• Improving the quality of existing data sources
• Adopting new methodologies for data collection
• Integrating databases and statistical surveys
• Techniques for data collection, both manual and automatic
• The use of Open Data in Public Administration

Expected Outcomes

The integrated use of Big Data is aimed at:

• Analyzing trends and processes of change in demographic, socio-economic, and health areas
• Developing predictive capabilities useful for business, administrative, and political decisions
• Evaluating the impact of investment choices in public and private contexts

Admission

• Prova di ammissione: Prevista
• Termine per la presentazione delle domande di ammissione: 31 gennaio 2026

Program Structure

For detailed information on the program structure, including objectives, learning outcomes, tuition fees, and other educational details, refer to the Ordinamento and Piano Formativo documents published on the program's webpage.

Department and Faculty

• Dipartimento: Scienze statistiche
• Facoltà: Facoltà di Ingegneria dell'informazione, informatica e statistica
• Sede: Roma, Italia